Tracking time-varying properties using quasi time-invariant models with Bayesian dynamic programming

Tracking the temporal variation of the properties of a system is relevant in different settings when data of extended duration is available, e.g., anomaly detection, condition monitoring, and trend identification. One simple approach is to divide the data into non-overlapping segments and then ident...

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Bibliographic Details
Main Authors: Yang, Yanping, Zhu, Zuo, Au, Siu-Kui
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/180079
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Institution: Nanyang Technological University
Language: English

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